Literature DB >> 26208852

JAK kinase inhibitors for the treatment of acute lymphoblastic leukemia.

Sandrine Degryse1,2, Jan Cools3,4,5.   

Abstract

Recent studies of acute lymphoblastic leukemia have identified activating mutations in components of the interleukin-7 receptor complex (IL7R, JAK1, and JAK3). It will be of interest to investigate both JAK1 and JAK3 kinase inhibitors as targeted agents for these leukemias.

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Year:  2015        PMID: 26208852      PMCID: PMC4545857          DOI: 10.1186/s13045-015-0192-7

Source DB:  PubMed          Journal:  J Hematol Oncol        ISSN: 1756-8722            Impact factor:   17.388


The importance of interleukin-7 receptor signaling for B and T cell development in normal and malignant conditions

Cytokine signaling, orchestrated by various ligands and more than 30 different receptors, plays a critical role during hematopoiesis. Cytokines that bind to receptors containing the common gamma chain (IL2RG) such as IL2, IL4, IL7, IL9, IL15, and IL21 are important for B and T cell development and function [1]. The IL7 receptor has received much of attention because it is a marker for early lymphoid progenitor cells, it is essential for both B and T cell development, and it was recently identified as a dominant oncogene in acute lymphoblastic leukemia (ALL). We will focus here on the IL7 receptor complex as an example of how cytokine receptor signaling can be hijacked by leukemia cells. The IL7 receptor is a heterodimeric receptor consisting of the IL7 receptor alpha chain (IL7R) and the common gamma chain (IL2RG). These receptor units associate with Janus kinase 1 (JAK1) and JAK3, respectively, and these kinases are both activated upon binding of IL7 to the receptor (Fig. 1). Loss-of-function mutations in IL2RG, IL7R, or JAK3 lead to impaired B and T cell development and have been identified in patients with severe combined immunodeficiency disease, clearly illustrating that this signaling axis is essential for normal lymphocyte development [1]. In contrast, gain-of-function mutations in IL7R, JAK1, or JAK3 lead to ligand-independent activation of IL7 receptor signaling, and have been identified in ALL and in various lymphoma types.
Fig. 1

Schematic representation of the interleukin-7 (IL7) receptor signaling complex. Arrows indicate locations that are often found to be mutated. Activation of the receptor complex by ligand binding or by mutation in IL7R, JAK1, or JAK3 causes phosphorylation of STAT proteins, which leads to activation of survival and proliferation pathways

Schematic representation of the interleukin-7 (IL7) receptor signaling complex. Arrows indicate locations that are often found to be mutated. Activation of the receptor complex by ligand binding or by mutation in IL7R, JAK1, or JAK3 causes phosphorylation of STAT proteins, which leads to activation of survival and proliferation pathways Activating mutations in IL7R are frequently found in T cell ALL (T-ALL) and B cell ALL (B-ALL) [2, 3]. These IL7R activating mutations are located in exon 6 and mostly lead to the incorporation of an unpaired cysteine close to the transmembrane domain of the receptor (Fig. 1). In this way, the mutant IL7R protein can form homodimers by the formation of disulfide bonds resulting in cytokine-independent activation of the downstream signaling pathways. In a minority of ALL cases, the IL7R mutations do not involve the insertion of a cysteine amino acid, and those insertions occur within the transmembrane domain, most likely resulting in ligand-independent activation of heterodimeric receptors. In addition to mutations in the receptor itself, also mutations in the tyrosine kinase JAK3 are frequent in T-ALL [2, 4, 5], while JAK1 activating mutations occur at a low frequency in T or B ALL (Fig. 1) [2, 6]. Due to the restricted expression pattern of IL7R, IL7R mutations are limited to lymphoid malignancies, while JAK1 and JAK3 mutations could also be expected in myeloid leukemias and even in any type of cancer. Indeed, JAK1 mutations have also been detected in a variety of epithelial tumors, with the highest frequency in hepatocellular carcinoma (http://cancer.sanger.ac.uk).

Targeted treatment strategies

Over the last decades, combination chemotherapy has been optimized for the treatment of ALL, and childhood ALL can now be cured in more than 80 % of children. Patients, however, suffer from serious short-term and long-term side effects of intensive treatment, and adult ALL patients have a poor outcome. With an increasing understanding of the molecular defects implicated in the pathogenesis of ALL, it is now possible to design patient-specific therapies where treatment is based on the mutational status of the leukemia cells. Since the IL7 receptor complex (JAK1, JAK3, IL7R) is mutated in up to 25 % of the T-ALL cases, this could be one of the new therapeutic targets to be explored. Protein tyrosine kinases are interesting proteins from a therapeutic perspective, because these enzymes are easy to target with small molecule inhibitors and these proteins are often mutated and constitutively activated in cancer. The ABL inhibitor imatinib has revolutionized treatment of chronic myeloid leukemia, and also in BCR-ABL positive ALL, the combination of ABL kinase inhibitors with chemotherapy has shown promising results. Since the initial successes with imatinib, many other kinase inhibitors have been developed, including a variety of JAK kinase inhibitors (Table 1). While most of these inhibitors are still under development, the JAK1/JAK2-selective inhibitor ruxolitinib is already FDA approved for treatment of patients with myelofibrosis, and the JAK3-selective inhibitor tofacitinib received FDA approval for the treatment of patients with rheumatoid arthritis. These data demonstrate that JAK kinase inhibitors can be administered safely and open new possibilities for the treatment of T-ALL with IL7R, JAK1, or JAK3 mutations. With T-ALL being a rare leukemia, it is very fortunate that numerous JAK inhibitors are already available and could potentially be repurposed for the treatment of T-ALL.
Table 1

JAK1 and JAK3-selective inhibitors currently in clinical studies

NameSelectivityPatient groupClinical phase
Baricitinib (LY3009104)JAK1/2Rheumatoid arthritisPhase 3
Psoriasis
Ruxolitinib (INCB18424)JAK1/2Acute leukemiaPhase 1/2
Chronic myeloid leukemia (CML)
Acute myeloid leukemia (AML)FDA approved
Myelofibrosis
Decernotinib (VX-509)JAK3Rheumatoid arthritisPhase 2/3
Tofacitinib (CP-690550)JAK3Rheumatoid arthritisFDA approved
INCB039110JAK1Primary myelofibrosisPhase 2
Post-polycythemia vera fibrosis
Post-essential thrombocythemia myelofibrosis
PF-04965842JAK1Plaque psoriasisPhase 2
Filgotinib (GLPG0634)JAK1Rheumatoid arthritisPhase 2
Crohn’s disease
INCB047986JAK1Rheumatoid arthritisPhase 2
Momelotinib (CYT387)JAK1/JAK2Primary myelofibrosisPhase 1/2
Post-polycythemia vera myelofibrosisPhase 2
Post-essential thrombocythemia myelofibrosis
Polycythemia vera
Essential thrombocythemiaPhase 2
GSK2586184JAK1PsoriasisPhase 2
Systemic lupus erythematosus
AT9283JAK2/JAK3Multiple myelomaPhase 2
Acute myeloid leukemiaPhase 1/2
Acute lymphoblastic leukemia
Chronic myeloid leukemia
Myelodysplastic syndromes
Myelofibrosis
JAK1 and JAK3-selective inhibitors currently in clinical studies It has been reported that JAK1 [7], IL7R [3], and JAK3 [8] mutants are sensitive to JAK-selective inhibition. JAK1 is indispensable for IL7R mutants in order to maintain activation of downstream proteins such as STAT5 [3]. Similarly, we reported several lines of evidence that JAK1 is required for the transforming mechanisms of most JAK3 mutants. Thus, although the number of ALL patients with specific mutations in IL7R, JAK1, or JAK3 is low, all these cases together represent about 27 % of T-ALL cases and are all likely to respond to JAK inhibitors [9].

In vivo models for testing potential compounds

We recently showed that most JAK3 mutations, identified in T-ALL patient samples, caused leukemia in a mouse model [8]. In the development of mouse models expressing JAK3 mutations, we mainly focused on the JAK3 M511I mutation, which is the most common mutation found in T-ALL. Mice receiving bone marrow transplantation with cells expressing the JAK3 M511I mutant developed a lymphoproliferative disease over the first 12 weeks, followed by progression to an acute phase characterized by a rapid increase in white blood cell (WBC) counts. All animals eventually succumbed to the disease within 14 to 28 weeks after receiving the bone marrow transplantation [8]. The disease was characterized by splenomegaly, enlarged thymus, and enlarged lymph nodes. All mice showed an accumulation of CD8 single positive immature T cells in the peripheral blood and hematopoietic tissues. The leukemic cells were transplantable to secondary recipient mice and were characterized by the presence of additional mutations in Notch1, Pten, Kras, and other genes. Mice which received a bone marrow transplant of cells expressing wild-type JAK3 did not develop any disease phenotype [8]. Primary and secondary transplanted mice were subsequently used to test the efficacy of the JAK3-selective inhibitor, tofacitinib (Xeljanz, Pfizer), to treat leukemia progression. Mice treated with tofacitinib showed a decrease in WBC count, while mice receiving placebo treatment had an increase in WBC count during treatment. Pathological analysis of tissues showed a high percentage of apoptotic cells in tofacitinib-treated mice, while placebo-treated mice had very low amount of apoptotic cells. Spleen and thymus weight was significantly lower in tofacitinib-treated mice compared to placebo-treated mice. These data demonstrate that JAK inhibitors such as tofacitinib show activity in mouse leukemia models [8]. However, when treatment was stopped, WBC counts increased, and all animals eventually succumbed to the disease, showing that kinase inhibitors alone cannot lead to complete eradication of the leukemia cells in this mouse model. In a separate study, Maude and colleagues investigated the efficacy of ruxolitinib for the treatment of early T cell precursor ALL (ETP-ALL) using xenografted human leukemia samples. Injection of ETP-ALL samples in immune deficient NSG mice led to the expansion of the leukemia cells in vivo, which was observed by increasing numbers of human blast cells in the peripheral blood and spleen of the NSG mice over time. Treatment of these animals with ruxolitinib, a JAK1/JAK2 inhibitor, caused a dramatic reduction of peripheral and spleen blasts, even as a single agent. Interestingly, the efficacy of ruxolitinib was observed not only in three samples with JAK1 or JAK3 mutation, but also in two ETP-ALL samples without JAK1, JAK3, or IL7R mutation [10]. These data indicate that JAK inhibitors are promising agents for the treatment of T-ALL, and that clinical trials to test these agents are warranted. JAK1, JAK3, or IL7R mutations predict response to JAK inhibitors, but even T-ALL cases without such mutations could potentially respond to JAK inhibition, most likely due to the presence of other, yet unknown, mechanisms leading to activation of the JAK/STAT pathway.

What about resistance?

Targeted agents such as tyrosine kinase inhibitors are very active and specific and typically show strong anti-cancer effects, but suffer from the fact that they bind to the target kinase in one specific part, typically the ATP-binding pocket. As a consequence, oncogenic kinases can become resistant to the inhibitor by mutating a single amino acid, a problem that has been observed in nearly all clinical applications of targeted cancer treatment. It is too early to tell whether JAK inhibitors would show clinical efficacy for the treatment of T-ALL, but in case this is successful, can we also expect resistance and how could we design the best inhibitors? Would it be possible to design a strategy to prevent or limit the development of resistance? The intimate interplay between the JAK1 and JAK3 kinase at the IL7 receptor may offer opportunities for the prevention of resistance development. A recent study showed that cells transformed by a JAK3 mutant could become resistant to a JAK3-selective inhibitor by acquiring another activating mutation in JAK1 [11]. By targeting both JAK1 and JAK3 in JAK3 mutant leukemia cells, it may be very difficult for the leukemia cells to overcome this block by just one mutation. Moreover, our study showed that combination of JAK3-selective and JAK1-selective inhibitors had a clear synergistic effect on the growth of JAK3 mutant cells [8]. In this way, the dose of both drugs could be lowered while still achieving a good inhibition of the signaling pathways. While combined inhibition of both JAK1 and JAK3 could be beneficial for the treatment of a subset of the T-ALL cases, it is also clear that another group of mutants are very much dependent on JAK1 or JAK3 only. It will be important to further clarify the mechanisms by which the different JAK1, JAK3, and IL7R mutants transform cells. Better insight in the exact signaling pathways that are activated by each of the mutants could help the rational selection of targeted agents to achieve better responses and prevent the development of resistance.
  10 in total

1.  Efficacy of JAK/STAT pathway inhibition in murine xenograft models of early T-cell precursor (ETP) acute lymphoblastic leukemia.

Authors:  Shannon L Maude; Sibasish Dolai; Cristina Delgado-Martin; Tiffaney Vincent; Alissa Robbins; Arthavan Selvanathan; Theresa Ryan; Junior Hall; Andrew C Wood; Sarah K Tasian; Stephen P Hunger; Mignon L Loh; Charles G Mullighan; Brent L Wood; Michelle L Hermiston; Stephan A Grupp; Richard B Lock; David T Teachey
Journal:  Blood       Date:  2015-02-02       Impact factor: 22.113

2.  Cooperating JAK1 and JAK3 mutants increase resistance to JAK inhibitors.

Authors:  Lorraine Springuel; Tekla Hornakova; Elisabeth Losdyck; Fanny Lambert; Emilie Leroy; Stefan N Constantinescu; Elisabetta Flex; Marco Tartaglia; Laurent Knoops; Jean-Christophe Renauld
Journal:  Blood       Date:  2014-10-28       Impact factor: 22.113

3.  The genetic basis of early T-cell precursor acute lymphoblastic leukaemia.

Authors:  Jinghui Zhang; Li Ding; Linda Holmfeldt; Gang Wu; Sue L Heatley; Debbie Payne-Turner; John Easton; Xiang Chen; Jianmin Wang; Michael Rusch; Charles Lu; Shann-Ching Chen; Lei Wei; J Racquel Collins-Underwood; Jing Ma; Kathryn G Roberts; Stanley B Pounds; Anatoly Ulyanov; Jared Becksfort; Pankaj Gupta; Robert Huether; Richard W Kriwacki; Matthew Parker; Daniel J McGoldrick; David Zhao; Daniel Alford; Stephen Espy; Kiran Chand Bobba; Guangchun Song; Deqing Pei; Cheng Cheng; Stefan Roberts; Michael I Barbato; Dario Campana; Elaine Coustan-Smith; Sheila A Shurtleff; Susana C Raimondi; Maria Kleppe; Jan Cools; Kristin A Shimano; Michelle L Hermiston; Sergei Doulatov; Kolja Eppert; Elisa Laurenti; Faiyaz Notta; John E Dick; Giuseppe Basso; Stephen P Hunger; Mignon L Loh; Meenakshi Devidas; Brent Wood; Stuart Winter; Kimberley P Dunsmore; Robert S Fulton; Lucinda L Fulton; Xin Hong; Christopher C Harris; David J Dooling; Kerri Ochoa; Kimberly J Johnson; John C Obenauer; William E Evans; Ching-Hon Pui; Clayton W Naeve; Timothy J Ley; Elaine R Mardis; Richard K Wilson; James R Downing; Charles G Mullighan
Journal:  Nature       Date:  2012-01-11       Impact factor: 49.962

Review 4.  JAK and STAT signaling molecules in immunoregulation and immune-mediated disease.

Authors:  John J O'Shea; Robert Plenge
Journal:  Immunity       Date:  2012-04-20       Impact factor: 31.745

5.  Oncogenic IL7R gain-of-function mutations in childhood T-cell acute lymphoblastic leukemia.

Authors:  Priscila P Zenatti; Daniel Ribeiro; Wenqing Li; Linda Zuurbier; Milene C Silva; Maddalena Paganin; Julia Tritapoe; Julie A Hixon; André B Silveira; Bruno A Cardoso; Leonor M Sarmento; Nádia Correia; Maria L Toribio; Jörg Kobarg; Martin Horstmann; Rob Pieters; Silvia R Brandalise; Adolfo A Ferrando; Jules P Meijerink; Scott K Durum; J Andrés Yunes; João T Barata
Journal:  Nat Genet       Date:  2011-09-04       Impact factor: 38.330

6.  Exome sequencing identifies mutation in CNOT3 and ribosomal genes RPL5 and RPL10 in T-cell acute lymphoblastic leukemia.

Authors:  Kim De Keersmaecker; Zeynep Kalender Atak; Ning Li; Carmen Vicente; Stephanie Patchett; Tiziana Girardi; Valentina Gianfelici; Ellen Geerdens; Emmanuelle Clappier; Michaël Porcu; Idoya Lahortiga; Rossella Lucà; Jiekun Yan; Gert Hulselmans; Hilde Vranckx; Roel Vandepoel; Bram Sweron; Kris Jacobs; Nicole Mentens; Iwona Wlodarska; Barbara Cauwelier; Jacqueline Cloos; Jean Soulier; Anne Uyttebroeck; Claudia Bagni; Bassem A Hassan; Peter Vandenberghe; Arlen W Johnson; Stein Aerts; Jan Cools
Journal:  Nat Genet       Date:  2012-12-23       Impact factor: 38.330

7.  JAK3 mutants transform hematopoietic cells through JAK1 activation, causing T-cell acute lymphoblastic leukemia in a mouse model.

Authors:  Sandrine Degryse; Charles E de Bock; Luk Cox; Sofie Demeyer; Olga Gielen; Nicole Mentens; Kris Jacobs; Ellen Geerdens; Valentina Gianfelici; Gert Hulselmans; Mark Fiers; Stein Aerts; Jules P Meijerink; Thomas Tousseyn; Jan Cools
Journal:  Blood       Date:  2014-09-05       Impact factor: 22.113

8.  Targeted sequencing identifies associations between IL7R-JAK mutations and epigenetic modulators in T-cell acute lymphoblastic leukemia.

Authors:  Carmen Vicente; Claire Schwab; Michaël Broux; Ellen Geerdens; Sandrine Degryse; Sofie Demeyer; Idoya Lahortiga; Alannah Elliott; Lucy Chilton; Roberta La Starza; Cristina Mecucci; Peter Vandenberghe; Nicholas Goulden; Ajay Vora; Anthony V Moorman; Jean Soulier; Christine J Harrison; Emmanuelle Clappier; Jan Cools
Journal:  Haematologica       Date:  2015-07-23       Impact factor: 9.941

9.  Somatically acquired JAK1 mutations in adult acute lymphoblastic leukemia.

Authors:  Elisabetta Flex; Valentina Petrangeli; Lorenzo Stella; Sabina Chiaretti; Tekla Hornakova; Laurent Knoops; Cristina Ariola; Valentina Fodale; Emmanuelle Clappier; Francesca Paoloni; Simone Martinelli; Alessandra Fragale; Massimo Sanchez; Simona Tavolaro; Monica Messina; Giovanni Cazzaniga; Andrea Camera; Giovanni Pizzolo; Assunta Tornesello; Marco Vignetti; Angela Battistini; Hélène Cavé; Bruce D Gelb; Jean-Christophe Renauld; Andrea Biondi; Stefan N Constantinescu; Robin Foà; Marco Tartaglia
Journal:  J Exp Med       Date:  2008-03-24       Impact factor: 14.307

10.  Comprehensive analysis of transcriptome variation uncovers known and novel driver events in T-cell acute lymphoblastic leukemia.

Authors:  Zeynep Kalender Atak; Valentina Gianfelici; Gert Hulselmans; Kim De Keersmaecker; Arun George Devasia; Ellen Geerdens; Nicole Mentens; Sabina Chiaretti; Kaat Durinck; Anne Uyttebroeck; Peter Vandenberghe; Iwona Wlodarska; Jacqueline Cloos; Robin Foà; Frank Speleman; Jan Cools; Stein Aerts
Journal:  PLoS Genet       Date:  2013-12-19       Impact factor: 5.917

  10 in total
  11 in total

1.  Dynamic pre-BCR homodimers fine-tune autonomous survival signals in B cell precursor acute lymphoblastic leukemia.

Authors:  M Frank Erasmus; Ksenia Matlawska-Wasowska; Ichiko Kinjyo; Avanika Mahajan; Stuart S Winter; Li Xu; Michael Horowitz; Diane S Lidke; Bridget S Wilson
Journal:  Sci Signal       Date:  2016-11-29       Impact factor: 8.192

2.  Treatment with the C-C chemokine receptor type 5 (CCR5)-inhibitor maraviroc suppresses growth and induces apoptosis of acute lymphoblastic leukemia cells.

Authors:  Jie Zi; Shushu Yuan; Jianlin Qiao; Kai Zhao; Linyan Xu; Kunming Qi; Kailin Xu; Lingyu Zeng
Journal:  Am J Cancer Res       Date:  2017-04-01       Impact factor: 6.166

Review 3.  The genetics and molecular biology of T-ALL.

Authors:  Tiziana Girardi; Carmen Vicente; Jan Cools; Kim De Keersmaecker
Journal:  Blood       Date:  2017-01-23       Impact factor: 22.113

4.  Erythropoietin (EPO)-receptor signaling induces cell death of primary myeloma cells in vitro.

Authors:  Thea Kristin Våtsveen; Anne-Marit Sponaas; Erming Tian; Qing Zhang; Kristine Misund; Anders Sundan; Magne Børset; Anders Waage; Gaute Brede
Journal:  J Hematol Oncol       Date:  2016-08-31       Impact factor: 17.388

5.  Multi-label ℓ2-regularized logistic regression for predicting activation/inhibition relationships in human protein-protein interaction networks.

Authors:  Suyu Mei; Kun Zhang
Journal:  Sci Rep       Date:  2016-11-07       Impact factor: 4.379

Review 6.  RNA 2'-O-Methylation (Nm) Modification in Human Diseases.

Authors:  Dilyana G Dimitrova; Laure Teysset; Clément Carré
Journal:  Genes (Basel)       Date:  2019-02-05       Impact factor: 4.096

Review 7.  Untwining Anti-Tumor and Immunosuppressive Effects of JAK Inhibitors-A Strategy for Hematological Malignancies?

Authors:  Klara Klein; Dagmar Stoiber; Veronika Sexl; Agnieszka Witalisz-Siepracka
Journal:  Cancers (Basel)       Date:  2021-05-26       Impact factor: 6.639

8.  Identification of AIM2 as a downstream target of JAK2V617F.

Authors:  Ei Leen Liew; Marito Araki; Yumi Hironaka; Seiichi Mori; Tuan Zea Tan; Soji Morishita; Yoko Edahiro; Akimichi Ohsaka; Norio Komatsu
Journal:  Exp Hematol Oncol       Date:  2016-01-28

9.  Mutant JAK3 phosphoproteomic profiling predicts synergism between JAK3 inhibitors and MEK/BCL2 inhibitors for the treatment of T-cell acute lymphoblastic leukemia.

Authors:  S Degryse; C E de Bock; S Demeyer; I Govaerts; S Bornschein; D Verbeke; K Jacobs; S Binos; D A Skerrett-Byrne; H C Murray; N M Verrills; P Van Vlierberghe; J Cools; M D Dun
Journal:  Leukemia       Date:  2017-08-30       Impact factor: 11.528

10.  Failure of tofacitinib to achieve an objective response in a DDX3X-MLLT10 T-lymphoblastic leukemia with activating JAK3 mutations.

Authors:  Jonathan Wong; Meaghan Wall; Gregory Philip Corboy; Nadine Taubenheim; Gareth Peter Gregory; Stephen Opat; Jake Shortt
Journal:  Cold Spring Harb Mol Case Stud       Date:  2020-08-25
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